3 papers
cs.SI2026
A Network Science Perspective on Evaluating Deep Graph Generative Models
Tianrui Mao, Abele Malan, Megha Khosla +2
Traditional network models from network science, such as the Erdos-Renyi and configuration models, generate random networks that reproduce few selected topological properties obser…
cs.SI2026
Fair Influence Maximization in Hypergraphs
Zoë Abhelakh, Tianrui Mao, Huijuan Wang
The influence maximization problem aims to select a set of seed nodes that maximize the influence, i.e., the average number of influenced nodes, at the end of a spreading process.…
cs.SI2025
Estimating Nodal Spreading Influence Using Partial Temporal Network
Tianrui Mao, Shilun Zhang, Alan Hanjalic +1
Temporal networks, whose links are activated or deactivated over time, are used to represent complex systems such as social interactions or collaborations occurring at specific tim…